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7 search results found

Numpyro ⭐ 1,966

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Turing.jl ⭐ 1,925

Bayesian inference with probabilistic programming.

Bayesian Neural Networks ⭐ 1,633

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Turingglm.jl ⭐ 59

Bayesian Generalized Linear models using `@formula` syntax.

Bayesian Neural Networks Reading List ⭐ 16

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

Manifold Mcmc For Diffusions ⭐ 10

Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'

Manifold_lifting ⭐ 6

Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'

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